Triple
T3446029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafah |
E72679
|
entity |
| Predicate | governoratePopulationCenter |
P2106
|
FINISHED |
| Object | largest city in Rafah Governorate |
—
|
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: largest city in Rafah Governorate | Statement: [Rafah, governoratePopulationCenter, largest city in Rafah Governorate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governoratePopulationCenter Context triple: [Rafah, governoratePopulationCenter, largest city in Rafah Governorate]
-
A.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
B.
hasPopulationCenter
chosen
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
-
C.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
D.
governedPopulation
Indicates that one entity serves as the governing authority over the population of another entity.
-
E.
hasPopulationCenterType
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2cc3048190ab1385699387df8d |
completed | March 8, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.