Triple
T2772197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvarnabhumi Airport |
E61480
|
entity |
| Predicate | hasControlTowerHeight |
P18664
|
FINISHED |
| Object | approximately 132 meters |
—
|
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: approximately 132 meters | Statement: [Suvarnabhumi Airport, hasControlTowerHeight, approximately 132 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasControlTowerHeight Context triple: [Suvarnabhumi Airport, hasControlTowerHeight, approximately 132 meters]
-
A.
hasControlTower
Indicates that one entity possesses, hosts, or is equipped with a control tower that manages or oversees its operations.
-
B.
hasTowerHeight
chosen
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
C.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
D.
hasCentralPylonHeight
Indicates the height measurement of the central pylon in a structure or system.
-
E.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.