Triple
T32924421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal House of Justice |
E842228
|
entity |
| Predicate | firstElectionPlace |
P134349
|
FINISHED |
| Object | Haifa, Israel |
E12305
|
NE 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: Haifa, Israel | Statement: [Universal House of Justice, firstElectionPlace, Haifa, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstElectionPlace Context triple: [Universal House of Justice, firstElectionPlace, Haifa, Israel]
-
A.
firstElectionName
Indicates the name or title of the first election in which the entity participated or was involved.
-
B.
firstElectionHeldIn
chosen
Indicates the location where an entity’s first election was conducted.
-
C.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
D.
firstElectionUnder
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
-
E.
firstVoteFor
Indicates that the referenced vote is the earliest or initial vote cast by the specified entity for a particular option, candidate, or item.
- F. None of above.
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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34d261e2288190a2a9e87e2bd08377 |
completed | June 19, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:20 a.m.