Triple
T14909646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HCB Contractors |
E371225
|
entity |
| Predicate | roleInReunionArenaProject |
P116636
|
FINISHED |
| Object | general contractor |
—
|
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: general contractor | Statement: [HCB Contractors, roleInReunionArenaProject, general contractor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInReunionArenaProject Context triple: [HCB Contractors, roleInReunionArenaProject, general contractor]
-
A.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
B.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
C.
roleInRepertoire
Indicates that an entity serves a specific role or function within a larger repertoire, collection, or set of items.
-
D.
roleInReact
Indicates that an entity participates in a reaction with a specified functional or contextual role (e.g., reactant, product, catalyst, or regulator).
-
E.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
- F. None of above. chosen
Provenance (4 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:25 a.m.