Triple
T15787834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aka-Jeru |
E382783
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Jeru |
E85613
|
NE FINISHED |
How this triple was built (2 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: Jeru | Statement: [Aka-Jeru, hasAlternativeName, Jeru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeru Context triple: [Aka-Jeru, hasAlternativeName, Jeru]
-
A.
Jeru
chosen
Jeru is one of the indigenous Great Andamanese languages historically spoken by the native communities of the Andaman Islands in India.
-
B.
Yeruham
Yeruham is a small town in Israel’s Negev desert known as a gateway to nearby geological attractions and nature reserves.
-
C.
Jaffa
Jaffa is an ancient port city on the Mediterranean coast, now part of Tel Aviv-Yafo in Israel, known for its historic harbor, mixed Arab-Jewish population, and continuous habitation since antiquity.
-
D.
Jericho
Jericho is an ancient city in the West Bank, often regarded as one of the oldest continuously inhabited settlements in the world and noted for its biblical significance.
-
E.
Jericho
Jericho is an American post-apocalyptic television series that follows the residents of a small Kansas town struggling to survive and uncover the truth after nuclear attacks on major U.S. cities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e054048ff48190ad107c890ef73166 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a6365c8190833431cf079b21fb |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.