Triple
T2489294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poale Zion |
E52000
|
entity |
| Predicate | hadSplit |
P11294
|
FINISHED |
| Object | left Poale Zion |
—
|
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: left Poale Zion | Statement: [Poale Zion, hadSplit, left Poale Zion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSplit Context triple: [Poale Zion, hadSplit, left Poale Zion]
-
A.
hasSplit
chosen
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
B.
hasVoteSplit
Indicates that a collective decision or vote resulted in differing choices among participants rather than unanimous agreement.
-
C.
hadNo
Indicates that one entity completely lacked or did not possess another entity, attribute, or relationship.
-
D.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
-
E.
hadRight
Indicates that an entity possessed a legal or moral entitlement to perform an action, access something, or claim something in relation to another entity or situation.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.