Triple
T10898909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shammar |
E257381
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object | Ha'il |
E218512
|
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: Ha'il | Statement: [Shammar, historicalCapital, Ha'il]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ha'il Context triple: [Shammar, historicalCapital, Ha'il]
-
A.
Ha'il
chosen
Ha'il is a major city in northwestern Saudi Arabia known historically as a key stop on desert trade routes and today as an agricultural and administrative center.
-
B.
Ruqʿah
Ruqʿah is a simple, highly legible style of Arabic script commonly used for everyday handwriting and quick note-taking.
-
C.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
-
D.
Al Wahat
Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
-
E.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2392c8190bc2c2359d63eff7a |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216b417bc8190b35477e9d363a289 |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:21 p.m.