Triple
T5595412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edificio Metrópolis |
E146984
|
entity |
| Predicate | openingUse |
P990
|
FINISHED |
| Object | insurance company headquarters |
—
|
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: insurance company headquarters | Statement: [Edificio Metrópolis, openingUse, insurance company headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingUse Context triple: [Edificio Metrópolis, openingUse, insurance company headquarters]
-
A.
openedForUse
chosen
Indicates that something has been made accessible and available for its intended operation or use.
-
B.
openedForUseBy
Indicates that something has been made available or activated so that a particular entity can use it.
-
C.
openingFunction
Indicates that one entity serves as the initial or primary function, role, or operation that begins or initiates a process, sequence, or interaction involving another entity.
-
D.
openingAnswer
Indicates that an entity provides an initial or first response in a dialogue, interaction, or sequence of answers.
-
E.
openingEngagementOf
Indicates that one event, action, or interaction serves as the initial or first engagement within a larger sequence, context, or relationship involving another entity or event.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020be029881908c5586838382c8f2 |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.