Triple
T1324399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Safa |
E28291
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | al-Marwah |
E148503
|
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: al-Marwah | Statement: [al-Safa, connectedTo, al-Marwah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Marwah Context triple: [al-Safa, connectedTo, al-Marwah]
-
A.
Nabawiyya
Nabawiyya is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known primarily as the unfaithful wife whose betrayal deeply impacts the protagonist, Said Mahran.
-
B.
Marwa
chosen
Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
-
C.
Al-Abwa
Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
-
D.
Sa el-Hagar
Sa el-Hagar is a modern Egyptian village located at the site of the ancient city of Sais in the Nile Delta.
-
E.
Qurnat as Sawda
Qurnat as Sawda is the tallest mountain peak in Lebanon and the Levant, rising to over 3,000 meters in the Mount Lebanon range.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47471108190b01121b384d871aa |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:55 p.m.