Triple
T5444059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecbatana |
E122204
|
entity |
| Predicate | greekName |
P3659
|
FINISHED |
| Object |
Ekbátana
Ekbátana is the ancient Greek name for the city of Ecbatana, the historic capital of the Median Empire in what is now western Iran.
|
E520297
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ekbátana | Statement: [Ecbatana, greekName, Ekbátana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekbátana Context triple: [Ecbatana, greekName, Ekbátana]
-
A.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
B.
Kartasura
Kartasura is a historic Javanese town in Central Java, Indonesia, known for having been an important royal center of the Mataram Sultanate before the court moved to Surakarta.
-
C.
Kalkan
Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
-
D.
Candaba
Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
-
E.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ekbátana Triple: [Ecbatana, greekName, Ekbátana]
Generated description
Ekbátana is the ancient Greek name for the city of Ecbatana, the historic capital of the Median Empire in what is now western Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekbátana Target entity description: Ekbátana is the ancient Greek name for the city of Ecbatana, the historic capital of the Median Empire in what is now western Iran.
-
A.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
B.
Kartasura
Kartasura is a historic Javanese town in Central Java, Indonesia, known for having been an important royal center of the Mataram Sultanate before the court moved to Surakarta.
-
C.
Kalkan
Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
-
D.
Candaba
Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
-
E.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ccdd648190940c04781c4222ec |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4132bcf08190af2ca506a40fb26e |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4207393c819089b4fc6691a2d076 |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf427e2bd08190b7664922d26e16d2 |
completed | March 22, 2026, 1:14 a.m. |
Created at: March 20, 2026, 2:07 p.m.