Triple
T7317736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salih |
E168456
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | she-camel of Thamud |
E651001
|
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: she-camel of Thamud | Statement: [Salih, associatedWith, she-camel of Thamud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: she-camel of Thamud Context triple: [Salih, associatedWith, she-camel of Thamud]
-
A.
She-camel of Salih
chosen
The She-camel of Salih is a miraculous camel in Islamic tradition, sent by God as a sign to the ancient tribe of Thamud in response to their demand for a divine proof of the prophet Salih’s message.
-
B.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
C.
Camel
Camel is the NATO reporting name for the Tupolev Tu-104, a Soviet-era twinjet airliner and one of the world’s first successful jet-powered passenger aircraft.
-
D.
Al-Fil
Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
-
E.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef178b3081908cd0c62466069741 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef847948190a0f2066008f63efd |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.