Triple
T30815639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sichuan Giant Panda Sanctuaries |
E784767
|
entity |
| Predicate | numberOfReserves |
P202608
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Sichuan Giant Panda Sanctuaries, numberOfReserves, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfReserves Context triple: [Sichuan Giant Panda Sanctuaries, numberOfReserves, 7]
-
A.
reserves
Indicates that an entity has arranged in advance to hold or secure something for future use or access.
-
B.
mainReserve
Indicates that one entity serves as the primary or main reserve resource, backup, or store for another entity.
-
C.
associatedReserve
Indicates a relationship where one entity is linked to or connected with a specific reserve (such as a backup, reserve fund, or reserved resource) designated for its use or support.
-
D.
reservationSize
Indicates the number of people or units included in a reservation.
-
E.
typeOfReserve
Indicates that one entity is classified as a specific kind or category of reserve in relation to another entity.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a094c44c81908e4501151688a635 |
completed | May 10, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a009fcdfd848190841deaad9667d347 |
completed | May 10, 2026, 3:10 p.m. |
| PDg | Predicate description generation | batch_6a00a09383548190b05620e6b185bf05 |
completed | May 10, 2026, 3:13 p.m. |
Created at: April 29, 2026, 8:43 p.m.