Triple
T30495998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPG |
E776007
|
entity |
| Predicate | hasTrainingCampsIn |
P46335
|
FINISHED |
| Object | mountainous areas of Iraqi Kurdistan |
—
|
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: mountainous areas of Iraqi Kurdistan | Statement: [HPG, hasTrainingCampsIn, mountainous areas of Iraqi Kurdistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingCampsIn Context triple: [HPG, hasTrainingCampsIn, mountainous areas of Iraqi Kurdistan]
-
A.
trainingCamps
chosen
Indicates that one entity organizes, hosts, or is associated with training camps for another entity or group.
-
B.
numberOfCamps
Indicates the total count of camps associated with or involved in a given entity or situation.
-
C.
hasSportsSpringTraining
Indicates that an entity conducts, hosts, or is associated with spring training activities for a sports team or sports organization.
-
D.
hasResearchCamp
Indicates that an entity operates, hosts, or is associated with a research camp.
-
E.
hasSubcamps
Indicates that an entity includes or is associated with one or more subordinate or subsidiary camps.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 29, 2026, 8:14 p.m.