Triple
T27677718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of the Muqata |
E697825
|
entity |
| Predicate | headquartersUnderSiege |
P36256
|
FINISHED |
| Object | Palestinian Authority headquarters |
—
|
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: Palestinian Authority headquarters | Statement: [siege of the Muqata, headquartersUnderSiege, Palestinian Authority headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersUnderSiege Context triple: [siege of the Muqata, headquartersUnderSiege, Palestinian Authority headquarters]
-
A.
headquartersDuringCampaign
Indicates the location that served as an entity’s main headquarters for the duration of a specific campaign.
-
B.
isSiegeOf
Indicates a relationship where one event or action constitutes the military siege of a particular place, target, or entity.
-
C.
garrisonOrHQ
chosen
Indicates that an entity serves as a military garrison or headquarters location for another entity.
-
D.
opposedSiegeBy
Indicates that one party actively resisted, countered, or worked against another party’s siege.
-
E.
headquartersStation
Indicates that a particular station serves as the main headquarters location for an organization or entity.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63535773c81908f37b61311643359 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:44 p.m.