Triple
T18151119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Posta Band of Diegueño Mission Indians |
E434502
|
entity |
| Predicate | reservationSize |
P130646
|
FINISHED |
| Object | small reservation |
—
|
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: small reservation | Statement: [La Posta Band of Diegueño Mission Indians, reservationSize, small reservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservationSize Context triple: [La Posta Band of Diegueño Mission Indians, reservationSize, small reservation]
-
A.
reservationProvision
Indicates that one entity provides, allocates, or sets aside a reservation (such as a booked resource, service slot, or capacity) for another entity.
-
B.
reservationGranularity
Indicates the level of detail or unit (such as time, quantity, or capacity) at which a reservation can be specified or managed.
-
C.
reserveObligationLength
Indicates the duration or time period for which a reservation-related obligation remains in effect.
-
D.
recommendedMinimumSize
Indicates the smallest size that is advised or suggested as a minimum for something to be used or considered appropriate.
-
E.
petitionSize
Indicates the number of signatures or participants associated with a given petition.
- F. None of above. chosen
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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de38d4e08190bc4d430b70b7e288 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.