Triple
T16049528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town Center |
E389315
|
entity |
| Predicate | oftenHosts |
P2777
|
FINISHED |
| Object | festivals |
—
|
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: festivals | Statement: [The Town Center, oftenHosts, festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenHosts Context triple: [The Town Center, oftenHosts, festivals]
-
A.
alsoHosted
Indicates that the subject entity, in addition to others, served as a host for the same event or activity.
-
B.
hosted
chosen
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
C.
mayHost
Indicates that an entity is permitted or able to serve as the location or organizer for another entity or event.
-
D.
guestHosted
Indicates that one entity temporarily hosted or presented an event, show, or program in place of or alongside the usual host.
-
E.
hostsCompany
Indicates that one entity provides space, infrastructure, or support for a company to operate, be located, or hold activities.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.