Triple
T30518577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mỹ Sơn Sanctuary |
E776631
|
entity |
| Predicate | numberOfTempleGroups |
P43478
|
FINISHED |
| Object | more than 70 structures originally |
—
|
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: more than 70 structures originally | Statement: [Mỹ Sơn Sanctuary, numberOfTempleGroups, more than 70 structures originally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTempleGroups Context triple: [Mỹ Sơn Sanctuary, numberOfTempleGroups, more than 70 structures originally]
-
A.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
B.
hasTempleCount
chosen
Indicates that an entity is associated with a specified number of temples.
-
C.
templeNumberWorldwide
Indicates the total count of temples that exist worldwide.
-
D.
isNumberedTempleOf
Indicates that one entity is a specific, designated temple identified by a particular number within a series or system associated with another entity.
-
E.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 29, 2026, 8:16 p.m.