Triple
T33176635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzales County, Texas |
E849193
|
entity |
| Predicate | hasHistoricSlogan |
P132650
|
FINISHED |
| Object | Come and Take It |
—
|
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: Come and Take It | Statement: [Gonzales County, Texas, hasHistoricSlogan, Come and Take It]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricSlogan Context triple: [Gonzales County, Texas, hasHistoricSlogan, Come and Take It]
-
A.
historicalSloganDirectedAt
Indicates a relationship where a historical slogan was specifically addressed or targeted toward a particular audience, group, or entity.
-
B.
hasHistoricNickname
Indicates that an entity is known by a nickname that has historical significance or longstanding traditional use.
-
C.
historicalMotto
Indicates that a phrase served as an official or commonly recognized motto for an entity during a specific historical period.
-
D.
hasSloganOrKeyPhrase
chosen
Indicates that an entity is associated with a specific slogan, tagline, or key phrase used to represent or promote it.
-
E.
sloganAtFounding
Indicates that a particular slogan was officially used by an entity at the time of its founding.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:29 a.m.