Triple
T25833429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Na Muang Waterfalls |
E650725
|
entity |
| Predicate | approximateHeightNaMuang1_m |
P131486
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Na Muang Waterfalls, approximateHeightNaMuang1_m, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHeightNaMuang1_m Context triple: [Na Muang Waterfalls, approximateHeightNaMuang1_m, 18]
-
A.
heightInMetres
Indicates the height of an entity expressed as a measurement in metres.
-
B.
approximateMaximumHeight
chosen
Indicates the estimated upper limit of an entity’s height, rather than an exact measured value.
-
C.
approximateDistanceInKilometresFromLuangPrabang
Indicates the estimated distance, measured in kilometres, between an entity and the location of Luang Prabang.
-
D.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
-
E.
heightMillimeters
Indicates the vertical size or elevation of an entity measured in millimeters.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 22, 2026, 7:39 a.m.