Triple
T31411871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Chu |
E801287
|
entity |
| Predicate | residenceBeforeTrip |
P135133
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Rachel Chu, residenceBeforeTrip, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceBeforeTrip Context triple: [Rachel Chu, residenceBeforeTrip, New York City]
-
A.
residenceBeforeHoliday
Indicates that an entity’s place of residence immediately prior to a specified holiday is a particular location.
-
B.
residenceBeforeVoyage
chosen
Indicates that an entity lived or was based at a particular location during a period preceding a specified voyage or journey.
-
C.
residenceBeforeArrest
Indicates that a person lived at a particular residence prior to the time of their arrest.
-
D.
residenceBeforeAttacks
Indicates that an entity’s place of residence is specified for the period prior to a particular attack or set of attacks.
-
E.
residenceBeforeImprisonment
Indicates the place where an individual lived prior to being imprisoned.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 8:39 p.m.