Triple
T199350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab League |
E4067
|
entity |
| Predicate | temporaryHeadquartersFrom |
P8021
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Arab League, temporaryHeadquartersFrom, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporaryHeadquartersFrom Context triple: [Arab League, temporaryHeadquartersFrom, 1979]
-
A.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
B.
establishesHeadquartersOf
Indicates that an entity selects and sets up the main administrative or operational center (headquarters) for another entity.
-
C.
headquartersCoordinates
Indicates the geographic coordinates where an entity’s main headquarters is located.
-
D.
headquartersMetroArea
Indicates that an organization’s main headquarters is located within a specified metropolitan area.
-
E.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69a25b4886b48190b46fd2244648a098 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25bc6ba208190aa8bec59d32f95fd |
completed | Feb. 28, 2026, 3:06 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.