Triple
T17503957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alico Building |
E426261
|
entity |
| Predicate | significanceToCity |
P97583
|
FINISHED |
| Object | symbol of Waco’s economic development in early 1900s |
—
|
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: symbol of Waco’s economic development in early 1900s | Statement: [Alico Building, significanceToCity, symbol of Waco’s economic development in early 1900s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significanceToCity Context triple: [Alico Building, significanceToCity, symbol of Waco’s economic development in early 1900s]
-
A.
notableImpactCity
chosen
Indicates that an entity has had a significant or widely recognized impact on a particular city.
-
B.
hasCivicSignificance
Indicates that something holds importance, relevance, or impact within a civic or public context, such as community life, governance, or public affairs.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
goalOfCity
Indicates that a particular objective, purpose, or target is associated with or pursued by a given city.
-
E.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45213a0e88190ac183d87ec088e86 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.