Triple
T1956761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hail Region |
E42286
|
entity |
| Predicate | transportHub |
P726
|
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: [Hail Region, transportHub, Ha'il]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ha'il Context triple: [Hail Region, transportHub, 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.
Al Uwayqilah
Al Uwayqilah is a small town located in the Northern Borders Region of Saudi Arabia, near the country’s frontier with Iraq.
-
D.
Al-Ghat
Al-Ghat is a small town in central Saudi Arabia known for its agricultural heritage, traditional architecture, and location within the Najd region.
-
E.
Naqa
Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37c60148190823f6a2a73b949e8 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fd49e3c8190ac7b29b51b122505 |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:36 p.m.