Triple
T29840614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pányú Qū |
E757781
|
entity |
| Predicate | historicalFoundedAs |
P364
|
FINISHED |
| Object | Panyu County |
E209137
|
NE 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: Panyu County | Statement: [Pányú Qū, historicalFoundedAs, Panyu County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFoundedAs Context triple: [Pányú Qū, historicalFoundedAs, Panyu County]
-
A.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
B.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
C.
foundingAround
Indicates that an entity was founded at approximately, but not exactly, the specified time or within a loosely defined surrounding period.
-
D.
foundedFrom
Indicates that an entity was established or originated starting from a particular source, place, or prior entity.
-
E.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
- F. None of above.
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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26e60b9e8c8190ab4d606e053d2c1f |
completed | June 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: April 29, 2026, 5:39 p.m.