Triple
T2858979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caria |
E63271
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Alinda
Alinda was an important ancient city in the region of Caria in southwestern Anatolia, known for its strategic location and well-preserved Hellenistic ruins.
|
E306434
|
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: Alinda | Statement: [Caria, hasMajorCity, Alinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alinda Context triple: [Caria, hasMajorCity, Alinda]
-
A.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
B.
Latika
Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
-
C.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
D.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
E.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
- 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: Alinda Triple: [Caria, hasMajorCity, Alinda]
Generated description
Alinda was an important ancient city in the region of Caria in southwestern Anatolia, known for its strategic location and well-preserved Hellenistic ruins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alinda Target entity description: Alinda was an important ancient city in the region of Caria in southwestern Anatolia, known for its strategic location and well-preserved Hellenistic ruins.
-
A.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
B.
Latika
Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
-
C.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
D.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
E.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8aec3c8190a4168d8c916b5268 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d972aa481908f6cb5f27706990c |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b021fbc2808190b415fd8af934cf73 |
completed | March 10, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b02656f8488190ab0d715d1634b6a7 |
completed | March 10, 2026, 2:10 p.m. |
Created at: March 6, 2026, 10:02 p.m.