Triple
T36983702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponce Historic Zone |
E914903
|
entity |
| Predicate | sawMajorGrowthIn |
P186852
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Ponce Historic Zone, sawMajorGrowthIn, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawMajorGrowthIn Context triple: [Ponce Historic Zone, sawMajorGrowthIn, 19th century]
-
A.
hasGrowth
Indicates that an entity experiences or possesses an increase or development in size, quantity, or capability over time.
-
B.
spurredGrowthOf
Indicates that one entity actively stimulated, accelerated, or caused an increase or expansion in another entity’s size, activity, or development.
-
C.
grewBy
Indicates that one entity’s size, amount, or value increased by a specified quantity or proportion over a given period or change.
-
D.
hasCommercialGrowth
Indicates that an entity experiences or exhibits an increase in commercial activity, revenue, or market presence over time.
-
E.
grewInPowerDuring
Indicates that an entity increased in strength, influence, or authority over the course of a specified time period or event.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.