Triple
T9169202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Jordan |
E220040
|
entity |
| Predicate | hasScarcity |
P74846
|
FINISHED |
| Object | water resources |
—
|
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: water resources | Statement: [Economy of Jordan, hasScarcity, water resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScarcity Context triple: [Economy of Jordan, hasScarcity, water resources]
-
A.
rarity
Indicates how uncommon or infrequently an entity or event occurs relative to others in a given context.
-
B.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
C.
hasScar
Indicates that one entity bears or possesses a scar on its body.
-
D.
isNonRenewable
Indicates that a resource or energy source cannot be naturally replenished within a human-relevant timescale once consumed.
-
E.
resourceDepletionStatus
chosen
Indicates the current state or level of exhaustion of a particular resource, such as whether it is abundant, diminishing, or depleted.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae0f3148190b111b22902cdb86c |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.