Triple
T1498720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xikou, Fenghua, Zhejiang, Qing Empire |
E29745
|
entity |
| Predicate | historicalPopulationScale |
P17235
|
FINISHED |
| Object | small town |
—
|
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: small town | Statement: [Xikou, Fenghua, Zhejiang, Qing Empire, historicalPopulationScale, small town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPopulationScale Context triple: [Xikou, Fenghua, Zhejiang, Qing Empire, historicalPopulationScale, small town]
-
A.
hasPopulationScale
chosen
Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
-
B.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
C.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
D.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
E.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f0ce988190aafab4a6e0dfd710 |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.