Triple
T30880383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saigon River Tunnel |
E786592
|
entity |
| Predicate | numberOfImmersedElements |
P202723
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Saigon River Tunnel, numberOfImmersedElements, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImmersedElements Context triple: [Saigon River Tunnel, numberOfImmersedElements, 4]
-
A.
immersedIn
Indicates that one entity is fully surrounded, absorbed, or deeply involved within another medium, environment, or activity.
-
B.
displacementSubmerged
Indicates the amount of fluid displaced by an object when it is submerged.
-
C.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
D.
numberOfHulls
Indicates the quantity of distinct hulls that an entity possesses or is composed of.
-
E.
submergedPercentage
Indicates the proportion of an object’s total volume or height that is below the surface of a surrounding fluid or medium.
- F. None of above. chosen
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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00b03a50a88190bfb95cdcfc6142a2 |
completed | May 10, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_6a00afe55f248190b2cb4c7e62cc3ffc |
completed | May 10, 2026, 4:18 p.m. |
| PDg | Predicate description generation | batch_6a00b03991148190ad8017ec56dbde6c |
completed | May 10, 2026, 4:20 p.m. |
Created at: April 29, 2026, 8:48 p.m.