Triple
T9349137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benidorm |
E224969
|
entity |
| Predicate | tourismDevelopmentPeriod |
P23760
|
FINISHED |
| Object | 1960s tourism boom |
—
|
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: 1960s tourism boom | Statement: [Benidorm, tourismDevelopmentPeriod, 1960s tourism boom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismDevelopmentPeriod Context triple: [Benidorm, tourismDevelopmentPeriod, 1960s tourism boom]
-
A.
beganDiversificationIntoTourism
Indicates that an entity started expanding its activities or operations into the tourism sector from a certain point in time.
-
B.
tourismDevelopmentLevel
Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
-
C.
developedOverPeriod
chosen
Indicates that something was created, expanded, or progressed continuously throughout a specified span of time.
-
D.
urbanDevelopmentEra
Indicates the historical period or phase during which significant urban development or transformation of a place occurred.
-
E.
hasDevelopmentTour
Indicates that an entity organizes, participates in, or is associated with a development-focused tour, typically for training, preparation, or early-stage exposure.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.