Triple
T1205898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Khalil |
E25885
|
entity |
| Predicate | hasPalestinianUrbanCenter |
P2106
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Al-Khalil, hasPalestinianUrbanCenter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPalestinianUrbanCenter Context triple: [Al-Khalil, hasPalestinianUrbanCenter, yes]
-
A.
regionOnWestBank
Indicates that one region is located on the western bank of another geographic feature, such as a river or body of water.
-
B.
hasPopulationCenter
chosen
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
-
C.
hasMajorHistoricalCentersIn
Indicates that an entity possesses significant, historically important centers or hubs located within a specified place or region.
-
D.
countryOnWestBank
Indicates that one entity is a country located on the western bank or side of a specified geographic feature, such as a river or body of water.
-
E.
hasAdministrativeCenter
Indicates that an administrative unit (such as a region, district, or municipality) has a specific place designated as its main governing or administrative center.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc314c88190b1b5953834bfce7b |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.