Triple
T20992159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Stile |
E517050
|
entity |
| Predicate | hasAccessLandStatus |
P41739
|
FINISHED |
| Object | open access land under CRoW Act |
—
|
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: open access land under CRoW Act | Statement: [High Stile, hasAccessLandStatus, open access land under CRoW Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessLandStatus Context triple: [High Stile, hasAccessLandStatus, open access land under CRoW Act]
-
A.
hasLandStatus
chosen
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
B.
legalStatusInPlot
Indicates the legal standing or rights an entity holds within the context of a specific plot or storyline.
-
C.
hasLandClaimAgreement
Indicates that there exists a formal agreement granting or recognizing a party’s rights or claims to a specific piece of land.
-
D.
hasLandmarkStatusIn
Indicates that an entity holds a recognized landmark status within a specified geographic or administrative area.
-
E.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.