Triple
T38222008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גָּלְיָת |
E1012035
|
entity |
| Predicate | מקום הקרב |
P39414
|
FINISHED |
| Object | עמק האלה |
—
|
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: עמק האלה | Statement: [גָּלְיָת, מקום הקרב, עמק האלה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מקום הקרב Context triple: [גָּלְיָת, מקום הקרב, עמק האלה]
-
A.
battlefieldOf
chosen
Indicates that a location is the site where a particular battle or military engagement took place.
-
B.
Gelände
Indicates a relationship where something is located on, takes place in, or is associated with a specific area of land or terrain.
-
C.
Hauptquartier
Indicates that one entity serves as the main headquarters or central administrative base for another entity.
-
D.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
-
E.
placeOfMainEngagement
Indicates the primary location where an entity carries out its main activities, operations, or engagements.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.