Triple
T9338071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatim |
E224694
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Hijr Ismail |
E44073
|
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: Hijr Ismail | Statement: [Hatim, alsoKnownAs, Hijr Ismail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hijr Ismail Context triple: [Hatim, alsoKnownAs, Hijr Ismail]
-
A.
Hijr Ismail
chosen
Hijr Ismail is a semi-circular walled area adjacent to the Kaaba in Mecca that is considered a sacred space and part of the original Kaaba’s foundation.
-
B.
Ishaq
Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
-
C.
Nukhayb
Nukhayb is a small, strategically located town in Iraq’s western Anbar Governorate, serving as a key transit point near the Iraq–Saudi Arabia border.
-
D.
Qasim
Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
-
E.
Kamarudeen
Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f312408190b5501432a6a855b7 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3b37b408190957c371233d8a3bd |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:40 p.m.