Triple
T3311124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambyses II |
E69573
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Eber-Nari
Eber-Nari was an ancient Near Eastern region of the Achaemenid Persian Empire, roughly corresponding to the Levant and parts of Syria and Mesopotamia.
|
E347009
|
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: Eber-Nari | Statement: [Cambyses II, deathPlace, Eber-Nari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eber-Nari Context triple: [Cambyses II, deathPlace, Eber-Nari]
-
A.
Ekeremor
Ekeremor is a local government area in Nigeria’s oil-rich Niger Delta region, known for its riverine communities and location within Bayelsa State.
-
B.
Erra
Erra is the pen name of Yerrapragada, a prominent medieval Telugu poet and scholar renowned for his contributions to classical Telugu literature.
-
C.
Nebit-Dag
Nebit-Dag is the former name of Balkanabat, a city in western Turkmenistan known for its role in the country’s oil and gas industry.
-
D.
Tirhuta
Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
-
E.
Urshanabi
Urshanabi is the boatman in the Epic of Gilgamesh who ferries Gilgamesh across the Waters of Death to meet the immortal Utnapishtim.
- 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: Eber-Nari Triple: [Cambyses II, deathPlace, Eber-Nari]
Generated description
Eber-Nari was an ancient Near Eastern region of the Achaemenid Persian Empire, roughly corresponding to the Levant and parts of Syria and Mesopotamia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eber-Nari Target entity description: Eber-Nari was an ancient Near Eastern region of the Achaemenid Persian Empire, roughly corresponding to the Levant and parts of Syria and Mesopotamia.
-
A.
Ekeremor
Ekeremor is a local government area in Nigeria’s oil-rich Niger Delta region, known for its riverine communities and location within Bayelsa State.
-
B.
Erra
Erra is the pen name of Yerrapragada, a prominent medieval Telugu poet and scholar renowned for his contributions to classical Telugu literature.
-
C.
Nebit-Dag
Nebit-Dag is the former name of Balkanabat, a city in western Turkmenistan known for its role in the country’s oil and gas industry.
-
D.
Tirhuta
Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
-
E.
Urshanabi
Urshanabi is the boatman in the Epic of Gilgamesh who ferries Gilgamesh across the Waters of Death to meet the immortal Utnapishtim.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ec80508190baa78435b983b7b5 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3f0d52081908bbade5e514f17d1 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa6edd6c8190a398e622c1c8600c |
completed | March 12, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31413fa2481908a52237df05e6fe6 |
completed | March 12, 2026, 7:29 p.m. |
Created at: March 8, 2026, 3:11 p.m.