Triple
T7224801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yathrib |
E150351
|
entity |
| Predicate | religiousRankAsMedina |
P75710
|
FINISHED |
| Object | second holiest city in Islam |
—
|
LITERAL 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: second holiest city in Islam | Statement: [Yathrib, religiousRankAsMedina, second holiest city in Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousRankAsMedina Context triple: [Yathrib, religiousRankAsMedina, second holiest city in Islam]
-
A.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
B.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
-
C.
caliphalOrder
Indicates that an action or state occurs by decree, command, or authoritative directive of a caliph.
-
D.
caliphOrder
Indicates that one entity holds the position of caliph immediately before or after another entity in a historical or religious succession order.
-
E.
populationShareOfMuslims
Indicates the proportion of a given population that is composed of Muslims.
- F. None of above. chosen
Provenance (4 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:54 p.m.