Triple
T3072411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai |
E64053
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object | Shushan |
E325270
|
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: Shushan | Statement: [Mordechai, associatedWithLocation, Shushan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shushan Context triple: [Mordechai, associatedWithLocation, Shushan]
-
A.
Shushan
chosen
Shushan is the ancient Persian royal city traditionally identified as the capital where the events of the biblical Book of Esther take place.
-
B.
Mount Ebal
Mount Ebal is a prominent mountain in the West Bank historically significant in biblical tradition, particularly as the site associated with the curses in the covenant ceremony described in the Book of Deuteronomy.
-
C.
Eglah
Eglah is a lesser-known wife of the biblical King David, mentioned among the mothers of his sons in the Hebrew Bible.
-
D.
Safed Koh
Safed Koh is a prominent mountain range along the Afghanistan–Pakistan border, known for its high, rugged peaks and strategic passes near the Khyber region.
-
E.
Erechim
Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20357f8c48190b6874f7596f30052 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:02 p.m.