Triple
T27280820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillon, Texas |
E688324
|
entity |
| Predicate | hasLocalHangout |
P52461
|
FINISHED |
| Object | The Alamo Freeze |
—
|
NE NERFINISHED |
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: The Alamo Freeze | Statement: [Dillon, Texas, hasLocalHangout, The Alamo Freeze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalHangout Context triple: [Dillon, Texas, hasLocalHangout, The Alamo Freeze]
-
A.
hangout
chosen
Indicates spending relaxed, informal time together in the same place, typically for socializing or leisure.
-
B.
hasLocalMedia
Indicates that an entity is associated with media content that is stored or available locally rather than from a remote source.
-
C.
hasLocalPartyPresence
Indicates that a political party maintains an active organizational or operational presence within a specific local area or jurisdiction.
-
D.
hasLobby
Indicates that an entity includes or is equipped with a lobby area as part of its premises or structure.
-
E.
hasClubhouseAccess
Indicates that an entity is permitted to enter or use the facilities, services, or privileges of a clubhouse.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 11:07 a.m.