Triple
T19760914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parques Reunidos |
E474624
|
entity |
| Predicate | portfolioSizeApproximate |
P128718
|
FINISHED |
| Object | more than 60 parks |
—
|
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: more than 60 parks | Statement: [Parques Reunidos, portfolioSizeApproximate, more than 60 parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portfolioSizeApproximate Context triple: [Parques Reunidos, portfolioSizeApproximate, more than 60 parks]
-
A.
brandPortfolioSize
Indicates the number of distinct brands included within an entity’s overall brand portfolio.
-
B.
approximateFolioCount
Indicates an estimated or rough number of folios associated with an entity, rather than an exact counted total.
-
C.
peakPortfolioSizeByProperties
chosen
Indicates the maximum size a portfolio can reach, measured in terms of its constituent properties.
-
D.
staffSize
Indicates the number of staff members associated with an entity.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531f38b48190b1663870a8da5a59 |
completed | April 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.