Triple
T24192626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Headquarters, Hanoi |
E599740
|
entity |
| Predicate | hasMeetingFacility |
P15338
|
FINISHED |
| Object | cabinet meeting chambers |
—
|
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: cabinet meeting chambers | Statement: [Government Headquarters, Hanoi, hasMeetingFacility, cabinet meeting chambers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeetingFacility Context triple: [Government Headquarters, Hanoi, hasMeetingFacility, cabinet meeting chambers]
-
A.
hasConferenceSpace
chosen
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
B.
hasMeetingLocation
Indicates that an entity (such as a meeting or event) takes place at or is associated with a specific location.
-
C.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
hasCompanyFacility
Indicates that a company possesses, operates, or is responsible for a particular facility.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.