Triple
T29438994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appian Aqueduct |
E746658
|
entity |
| Predicate | percentageUnderground |
P169681
|
FINISHED |
| Object | almost 100% |
—
|
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: almost 100% | Statement: [Appian Aqueduct, percentageUnderground, almost 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageUnderground Context triple: [Appian Aqueduct, percentageUnderground, almost 100%]
-
A.
operatedUnderground
Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
-
B.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
-
C.
hasUndergroundSection
Indicates that an entity includes a portion or segment that is located below ground level.
-
D.
hasUndergroundLevel
Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
-
E.
isUndergroundOnly
Indicates that something exists, operates, or is accessible exclusively below ground level and not above ground.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 28, 2026, 3:19 p.m.