Triple
T25456703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مكة المكرمة |
E637931
|
entity |
| Predicate | تدار بلديًا من قبل |
P145445
|
FINISHED |
| Object | أمانة العاصمة المقدسة |
—
|
NE NERFINISHED |
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: أمانة العاصمة المقدسة | Statement: [مكة المكرمة, تدار بلديًا من قبل, أمانة العاصمة المقدسة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تدار بلديًا من قبل Context triple: [مكة المكرمة, تدار بلديًا من قبل, أمانة العاصمة المقدسة]
-
A.
通過自治体
Indicates that something is processed, managed, or carried out through a local government or municipal authority.
-
B.
townControlled
Indicates that one entity has governing authority or administrative control over a town.
-
C.
administeredCityOrTown
Indicates that an entity has administrative authority over a specific city or town.
-
D.
municipality
Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
-
E.
servesAsMunicipalAuthorityFor
chosen
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
- F. None of above.
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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:10 p.m.