Triple
T31162118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luy Lâu ancient citadel |
E794367
|
entity |
| Predicate | nearbyCulturalSites |
P179009
|
FINISHED |
| Object | Dâu Pagoda area |
—
|
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: Dâu Pagoda area | Statement: [Luy Lâu ancient citadel, nearbyCulturalSites, Dâu Pagoda area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyCulturalSites Context triple: [Luy Lâu ancient citadel, nearbyCulturalSites, Dâu Pagoda area]
-
A.
nearbyHeritageDestinations
chosen
Indicates that one or more heritage destinations are located close to a given reference point or entity in geographic space.
-
B.
nearCulturalInstitution
Indicates that one entity is located close to, or in the immediate vicinity of, a cultural institution such as a museum, theater, gallery, or similar venue.
-
C.
nearbyRoyalSite
Indicates that one place or object is located close to a site associated with royalty, such as a palace, castle, or royal residence.
-
D.
nearbyWorldHeritageSite
Indicates that one entity is located close to, or in the immediate vicinity of, a designated World Heritage Site.
-
E.
notableNearbySite
Indicates that one entity is a significant or noteworthy site located close to another entity.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 29, 2026, 9:07 p.m.