Triple
T12253397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakhl |
E292032
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Markaz Nakhl |
E972583
|
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: Markaz Nakhl | Statement: [Nakhl, administrativeDivision, Markaz Nakhl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markaz Nakhl Context triple: [Nakhl, administrativeDivision, Markaz Nakhl]
-
A.
Markaz Nakhl
chosen
Markaz Nakhl is an administrative center and town in Egypt’s Sinai Peninsula, serving as the capital of the surrounding Nakhl region.
-
B.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
-
C.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
D.
Mohamed Naguib Military Base
Mohamed Naguib Military Base is a major Egyptian armed forces installation named in honor of Egypt’s first president, Mohamed Naguib.
-
E.
Umm al-Hasan
Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.