Triple
T11107089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nhat Tan Bridge |
E262658
|
entity |
| Predicate | numberOfMainSpans |
P620
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Nhat Tan Bridge, numberOfMainSpans, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainSpans Context triple: [Nhat Tan Bridge, numberOfMainSpans, 5]
-
A.
numberOfSpans
chosen
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
B.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
C.
numberOfMainElements
Indicates the quantity of primary or central elements associated with an entity or structure.
-
D.
numberOfMainTexts
Indicates the quantity of primary or main textual components associated with an entity.
-
E.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6546d4819092187e9c12a30ed5 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.